Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.

• Deal effectively with ambiguous and unstructured problems and situations.

• Initiate open and candid coaching conversations at all levels.

• Move easily between big picture thinking and managing relevant detail.

• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.

• Contribute technical knowledge in area of specialism.

• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.

• Navigate the complexities of cross-border and/or diverse teams and engagements.

• Initiate and lead open conversations with teams, clients and stakeholders to build trust.

• Uphold the firm's code of ethics and business conduct.

Data Scientist (SA) - Azure

Join our team as a Senior Associate in the Data Scientist role and help us drive innovation and build cutting-edge LLM (Large Language Model) powered applications on the cloud for our clients. As a manager at our organization, you will play a crucial role in designing and implementing large-scale LLM applications on public cloud platforms. Your expertise in Gen AI development, machine learning, deep learning models, agile software development practices, and software component design will be essential in delivering high-quality solutions.

Experience: 5 - 8 years

 Minimum Degree Required: Bachelor’s degree in engineering.

Certification(s) Preferred: Azure Data Scientist Associate (DP-100), Azure AI Engineer Associate (AI-102), Azure Solution Architect (AZ-305)

  Desired Skills

• Strong development experience in advanced-level programming in Python/Pyspark to support data analysis and API / Model development.

• Apply deep understanding of Gen AI development, machine learning, and deep learning models to design and optimize LLM applications in both local and cloud environments.

• Utilize expertise in public cloud platforms to build and deploy scalable and secure LLM solutions.

• Minimum 3+ year of experience of supervised, unsupervised and reinforcement learning machine
  learning algorithms. For e.g.: classifiers, cluster analysis, dimension reduction, regression, and
  models CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU,
  word/doc embeddings, collaborative filtering, self-attention, transformers, etc.

• Proficiency in developing code for both containerized (AKS, Docker, Kubernetes) and serverless (Azure Functions) environments.

• Proficiency in integrating with azure native services Azure Cognitive Search, Cosmos DB, Form Recognizer, Service bus, key vault, Azure cache for Redis.

• Experience with Azure data lake analytics & Power BI is a plus.

• Experience with the current state of AI/ML, Large Language Models, and Generative AI

• Fine-tune language models to specific domains using LLM to improve the accuracy and
  effectiveness. 

• Build generative AI models that can generate original content, such as text, images.

• Experience with both SQL and NoSQL database systems and can write SQL queries.

• Implement LLM Ops practices to monitor and maintain the performance and reliability of language models.

• Implement measures to prevent Prompt Injection Attacks and ensure the integrity of language models.

• Fine-tune language models to specific domains using LLM to improve the accuracy and effectiveness of text-based applications.

• Utilize model explainability and interpretability techniques to provide insights into model predictions and decision-making processes.

• Excellent communication skills with the ability to influence client business and IT teams.

• Experience with Agile software development

Education: Any graduate or Post graduate

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date